MatthewFilipovich / torchoptics
Differentiable wave optics simulation library built on PyTorch
Why this job: works in the areas we cover, but does not say which job it does
What it does
- Differentiable Wave Optics. Model, analyze, and optimize optical systems using Fourier optics.
- Built on PyTorch. GPU acceleration, batch processing, and automatic differentiation.
- End-to-End Optimization. Joint optimization of optical hardware and machine learning models.
- Optical Elements. Lenses, phase/amplitude modulators, detectors, polarizers, and more.
- Spatial Profiles. Hermite-Gaussian, Laguerre-Gaussian, Zernike modes, gratings, and others.
Get started
pip install torchoptics- Maintenance
- Inactive
- Last commit 7 months ago
- Stars
- 179
- +2 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.0.2
- Released 7 months ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 91% closed
- 2 still open
- Pull requests
- 63 merged
- 0 waiting
- Releases
- 11
- 3 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| kaanaksit / odak | 217 | 3 days ago | MPL-2.0 | No downloads |
| JeremieMelo / pytorch-onn | 332 | 10 months ago | MIT | No downloads |
| DeepTrackAI / DeepTrack2 | 249 | 15 days ago | MIT | No downloads |
More: languages, topics, project record and preview image
Languages
- Python 100%
Topics
- computational-optics
- deep-learning
- differentiable-optics
- diffraction
- fourier-optics
- holography
- imaging
- inverse-design
- machine-learning
- microscopy
- mplc
- optical-neural-network
Project record
- JobOther AI tools
- StatusListed
- Commits104
- Forks22
- Watching3
- Stars in 28 days+7
- CreatedNov 27, 2024
- First seen by usNov 7, 2026
- CheckedNov 8, 2026